DeepLearningExamples/PyTorch/LanguageModeling/Transformer-XL/pytorch/scripts/inference_benchmark.sh

40 lines
1.3 KiB
Bash
Executable file

#!/bin/bash
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
CHECKPOINT=${CHECKPOINT:-"LM-TFM/checkpoint_best.pt"}
MODEL=${MODEL:-"base"}
BATCH_SIZES=(1 2 4 8 16 32)
TYPES=("pytorch" "torchscript")
# "empty" MATH corresponds to fp32
MATHS=("" "--fp16")
for (( i = 0; i < ${#TYPES[@]}; i++ )); do
for (( j = 0; j < ${#BATCH_SIZES[@]}; j++ )); do
for (( k = 0; k < ${#MATHS[@]}; k++ )); do
echo type: ${TYPES[i]} batch size: ${BATCH_SIZES[j]} math: ${MATHS[k]}
taskset -c 0 bash run_wt103_"${MODEL}".sh eval 1 \
--model "${CHECKPOINT}" \
--type "${TYPES[i]}" \
--batch_size "${BATCH_SIZES[j]}" \
"${MATHS[k]}" \
--save_data \
"${@:1}"
done
done
done